chore: sync

src/hooks/useChatModel.ts

@@ -1,5 +1,6 @@
 import { useState } from 'react';
 import { clone } from 'lodash';
+import { invoke } from '@tauri-apps/api';
 
 import { CHAT_MODEL_JSON, readJSON, writeJSON } from '@/utils';
 import useInit from '@/hooks/useInit';
@@ -16,6 +17,7 @@ export default function useChatModel(key: string) {
     const oData = clone(modelJson);
     oData[key] = data;
     await writeJSON(CHAT_MODEL_JSON, oData);
+    await invoke('window_reload', { label: 'core' });
     setModelJson(oData);
   }
 

src/hooks/useEvent.ts

@@ -0,0 +1,28 @@
+import { invoke, http, fs, dialog } from '@tauri-apps/api';
+
+import useInit from '@/hooks/useInit';
+import useChatModel from '@/hooks/useChatModel';
+import { GITHUB_PROMPTS_CSV_URL, chatPromptsPath, genCmd } from '@/utils';
+
+export default function useEvent() {
+  const { modelSet } = useChatModel('sys_sync_prompts');
+  // Using `emit` and `listen` will be triggered multiple times in development mode.
+  // So here we use `eval` to call `__sync_prompt`
+  useInit(() => {
+    (window as any).__sync_prompts = async () => {
+      const res = await http.fetch(GITHUB_PROMPTS_CSV_URL, {
+        method: 'GET',
+        responseType: http.ResponseType.Text,
+      });
+      const data = (res.data || '') as string;
+      if (res.ok) {
+        await fs.writeTextFile(await chatPromptsPath(), data);
+        const list: Record<string, string>[] = await invoke('parse_prompt', { data });
+        modelSet(list.map(i => ({ cmd: genCmd(i.act), enable: true, tags: ['chatgpt-prompts'], ...i })));
+        dialog.message('ChatGPT Prompts data has been synchronized!');
+      } else {
+        dialog.message('ChatGPT Prompts data sync failed, please try again!');
+      }
+    }
+  })
+}